Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network |
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Authors: | Adeel Malik and Shandar Ahmad |
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Institution: | (1) Department of Biosciences, Jamia Millia Islamia University, New Delhi, 110025, India |
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Abstract: | Background Protein-Carbohydrate interactions are crucial in many biological processes with implications to drug targeting and gene expression.
Nature of protein-carbohydrate interactions may be studied at individual residue level by analyzing local sequence and structure
environments in binding regions in comparison to non-binding regions, which provide an inherent control for such analyses.
With an ultimate aim of predicting binding sites from sequence and structure, overall statistics of binding regions needs
to be compiled. Sequence-based predictions of binding sites have been successfully applied to DNA-binding proteins in our
earlier works. We aim to apply similar analysis to carbohydrate binding proteins. However, due to a relatively much smaller
region of proteins taking part in such interactions, the methodology and results are significantly different. A comparison
of protein-carbohydrate complexes has also been made with other protein-ligand complexes. |
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Keywords: | |
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